DSM generation from Sentinel and COSMO-SkyMed data using interferometry and radargrammetry: a case study from Mykonos, Greece

Konstantinos Nikolakopoulos; Aggeliki Kyriou; Vassiliki Charalampopoulou

doi:10.1117/12.2193977

19 June 2015 DSM generation from Sentinel and COSMO-SkyMed data using interferometry and radargrammetry: a case study from Mykonos, Greece

Konstantinos Nikolakopoulos, Aggeliki Kyriou, Vassiliki Charalampopoulou

Author Affiliations +

Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95350H (2015) https://doi.org/10.1117/12.2193977
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus

Abstract

Space-borne SAR sensors are capable to measure ground elevation using interferometric (InSAR) or radargrammetric techniques. In the first case, the phase content is used while in the second case the amplitude values of SAR image are exploited. This work is focused on the analysis of potentialities of the Interferometric and radargrammetric DSMs generation using high resolution SAR imagery acquired by two of the newer satellite platforms (Sentinel -1 and COSMO-SkyMed). Eleven Sentinel-1 and two COSMO-SkyMed scenes have been processed. A full comparison and analysis has been carried for Myconos Island where a high accuracy DSM from the Greek cadastral and other DEM from digitized contours from the 1/50.000 topographic maps are available. After a first control for random or systematic errors a statistical analysis was done. Points of known elevation have been used to estimate the accuracy of the DSMs. 2D RMSE, correlation and the percentile value were computed and the results are presented.

Citation Download Citation

Konstantinos Nikolakopoulos, Aggeliki Kyriou, and Vassiliki Charalampopoulou "DSM generation from Sentinel and COSMO-SkyMed data using interferometry and radargrammetry: a case study from Mykonos, Greece", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95350H (19 June 2015); https://doi.org/10.1117/12.2193977

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available